Optimisation of Shear Strengthened Reinforced Concrete Beams
Yapa, Hiran D
Proceedings of the ICE - Engineering and Computational Mechanics
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Yapa, H. D., & Lees, J. (2014). Optimisation of Shear Strengthened Reinforced Concrete Beams. Proceedings of the ICE - Engineering and Computational Mechanics, 167 (2014-05-21), 82-96. https://doi.org/10.1680/eacm.13.00022
External prestressed carbon fibre reinforced polymer (CFRP) straps can be used to strengthen shear-deficient reinforced concrete (RC) structures. For an efficient shear retrofitting system, the optimum combinations of parameters such as the number of straps, strap locations, strap stiffness and initial strap prestress need to be identified. The modified compression field theory (MCFT) and the shear friction theory (SFT) have previously been applied to CFRP strap strengthened beams. As implemented, both of these methods are iterative. Particle swarm optimisation (PSO) and genetic algorithm (GA) stochastic optimisation methods were used to reduce the computational cost associated with the shear strength evaluation and also to search the design space for CFRP strap strengthened beams. An initial comparison across several test functions showed that the preferred optimisation algorithm depended on the characteristics of the design space. When applied to a RC case study, the GA was better for searching the SFT shear strength design space which was characterised by several peaks. But for the smoother MCFT shear strength evaluation space, and for the design space for the CFRP strengthened beams calculated using either the MCFT or the SFT, the PSO converged more quickly and accurately. The optimised solutions reflect the assumptions within the underlying evaluation methods.
The first author is grateful for the financial support provided by the Cambridge Commonwealth Trust, the Overseas Research Studentship and the Churchill College.
External DOI: https://doi.org/10.1680/eacm.13.00022
This record's URL: https://www.repository.cam.ac.uk/handle/1810/245507